<p>Simulation Neuroscience is an emerging approach to integrate the knowledge dispersed throughout the field of neuroscience.
Course Details
| Language | English |
| Duration | 6 weeks |
| Effort | 4 hrs/week |
Description
The aim is to build a unified empirical picture of the brain, to study the biological mechanisms of brain function, behaviour and disease. This is achieved by integrating diverse data sources across the various scales of experimental neuroscience, from molecular to clinical, into computer simulations
In a series of three courses, you will learn to use the
state-of-the-art modeling tools of the HBP Brain Simulation Platform to simulate neurons, build neural networks, and perform your own simulation experiments. This is a unique, massive open online course taught by a multi-disciplinary team of world-renowned scientists.
In this first course, you will gain the knowledge and skills needed to create simulations of biological neurons and synapses.
Prof. Henry Markram will open the course and present the basic principles of Simulation Neuroscience and the neuroscience knowledge it aims to integrate.
Then with Prof. Sean Hill, Samuel Kerrien and Lida Kanari, you will learn about the structure of neuroscience data, its analysis and classification, and how to integrate it into the neuroinformatics platform. Prof. Idan Segev will introduce you to the fascinating world of biological neurons, and mathematical methods to describe their biophysics. Werner van Geit will show you how to apply these methods to create your own neuron models using the NEURON simulator. From Dr. Srikanth Rawasamy and Dr. Eilif Muller you will learn the biology of synaptic transmission in the neocortex, and how to
simulate it using the NEURON simulator. In the fifth week of the course Prof. Felix Schürmann and Werner Van Geit will teach you to constrain neuron models with experimental data using genetic optimization techniques
We invite you to join us and share in our passion to reconstruct, simulate and understand the brain!
